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2D Classification
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/tri-ml/vedet
공식 코드https://github.com/trokhymovych/rwfork
공식 코드Characterizing Knowledge Manipulation in a Russian Wikipedia Fork
https://github.com/trumpetertimes/sparse-generation
공식 코드https://github.com/tryhiseyyysum/menol
공식 코드Multimodal-Enhanced Objectness Learner for Corner Case Detection in Autonomous Driving
https://github.com/tryptofanik/gc-bert
공식 코드Enriching language models with graph-based context information to better understand textual data
https://github.com/tsattler/meshloc_release
공식 코드https://github.com/tshi04/LeafNATS
공식 코드LeafNATS: An Open-Source Toolkit and Live Demo System for Neural Abstractive Text Summarization
https://github.com/tshizys/CoupleNet
공식 코드CoupleNet: Coupling Global Structure with Local Parts for Object Detection
https://github.com/tsigalko18/transferability-testing-sdcs
공식 코드https://github.com/tsinghua-mars-lab/geomae
공식 코드GeoMAE: Masked Geometric Target Prediction for Self-supervised Point Cloud Pre-Training
https://github.com/tsingqguo/ABBA
공식 코드Watch out! Motion is Blurring the Vision of Your Deep Neural Networks
https://github.com/tsingqguo/jadena
공식 코드Can You Spot the Chameleon? Adversarially Camouflaging Images from Co-Salient Object Detection
https://github.com/tstafylakis/Speaker-Embeddings-Correlation-Pooling
공식 코드https://github.com/tsujuifu/pytorch_ldast
공식 코드https://github.com/ttaoREtw/ImGeoNet
공식 코드ImGeoNet: Image-induced Geometry-aware Voxel Representation for Multi-view 3D Object Detection
https://github.com/tteepe/EarlyBird
공식 코드EarlyBird: Early-Fusion for Multi-View Tracking in the Bird's Eye View
https://github.com/tteepe/tracktacular
공식 코드Lifting Multi-View Detection and Tracking to the Bird's Eye View
https://github.com/ttslr/strengthnet
공식 코드Accurate Emotion Strength Assessment for Seen and Unseen Speech Based on Data-Driven Deep Learning
https://github.com/tudelft-iv/unibev
공식 코드https://github.com/tudelft/idnet
공식 코드Lightweight Event-based Optical Flow Estimation via Iterative Deblurring
https://github.com/tue-mps/refnet
공식 코드https://github.com/tuhinjubcse/SimileGeneration-EMNLP2020
공식 코드Generating similes effortlessly like a Pro: A Style Transfer Approach for Simile Generation
https://github.com/tuhinjubcse/opendomainquestiongeneration
공식 코드CONSISTENT: Open-Ended Question Generation From News Articles
https://github.com/tuilmenauams/lowdelaymultichannelsourceseparation_random-directions_demo
공식 코드Low Latency Time Domain Multichannel Speech and Music Source Separation
https://github.com/tum-traffic-dataset/coopdet3d
공식 코드https://github.com/tum-traffic-dataset/tum-traffic-dataset-dev-kit
공식 코드https://github.com/tumftm/caliv
공식 코드CaLiV: LiDAR-to-Vehicle Calibration of Arbitrary Sensor Setups via Object Reconstruction
https://github.com/tumftm/dpft
공식 코드DPFT: Dual Perspective Fusion Transformer for Camera-Radar-based Object Detection
https://github.com/tumftm/radargnn
공식 코드RadarGNN: Transformation Invariant Graph Neural Network for Radar-based Perception
https://github.com/tumftm/sim2realdistributionaligneddataset
공식 코드https://github.com/tunantu/dynamic-layer-attention
공식 코드https://github.com/turoad/scaloss
공식 코드SCALoss: Side and Corner Aligned Loss for Bounding Box Regression
https://github.com/tusen-ai/TSTTC
공식 코드TSTTC: A Large-Scale Dataset for Time-to-Contact Estimation in Driving Scenarios
https://github.com/tusen-ai/mv2d
공식 코드Object as Query: Lifting any 2D Object Detector to 3D Detection
https://github.com/tusen-ai/sst
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.